Music Recommendation System

With the rapid development of digital music formats, managing and searching for songs has become significant. On a regular basis, individuals are dependent on a few advices, regardless of whether it is which motion picture to watch on Friday night or are there any fascinating new items accessible on Amazon. A lot of businesses are now using recommender systems for their benefit like Flipkart, Google and Amazon along with Spotify, Wynk Music, Gaana.com, YouTube, etc. This benefits the businesses by attracting customers and the users by getting better services. In this blog, the main focus is on the various components/algorithms that can be used with machine learning and their comparison to find the best suitable algorithm for the music recommendation system. As users accumulate digital music in their digital devices, the problem arises for them to manage the large number of tracks in them. If a device contains thousands of tracks, it is difficult, painful, and even impractical for a u...